Abstract
Reducing energy consumption has become one of the major challenges in designing future computing systems. This paper proposes a novel idea of using program counters to predict I/O activities in the operating system. The paper presents a complete design of Program-Counter Access Predictor (PCAP) that dynamically learns the access patterns of applications and predicts when an I/O device can be shut down to save energy. PCAP uses path-based correlation to observe a particular sequence of program counters leading to each idle period, and predicts future occurrences of that idle period. PCAP differs from previously proposed shutdown predictors in its ability to: (1) correlate I/O operations to particular behavior of the applications and users, (2) carry prediction information across multiple executions of the applications, and (3) attain better energy savings while incurring low mispredictions.
Original language | English (US) |
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Pages (from-to) | 24-35 |
Number of pages | 12 |
Journal | IEEE High-Performance Computer Architecture Symposium Proceedings |
Volume | 10 |
State | Published - 2004 |
Externally published | Yes |
Event | Proceedings - 10th International Symposium on High Performance Computer Architecture - Madrid, Spain Duration: Feb 14 2004 → Feb 18 2004 |
ASJC Scopus subject areas
- Hardware and Architecture